Research Topics
| Michelle R GreeneSummaryAffiliation: Massachusetts Institute of Technology Country: USA Publications
| Collaborators |
Detail Information
Publications
Recognition of natural scenes from global properties: seeing the forest without representing the treesMichelle R Greene
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue 46 4078, Cambridge, MA 02139, USA
Cogn Psychol 58:137-76. 2009..These results provide support for the hypothesis that rapid categorization of natural scenes may not be mediated primarily though objects and parts, but also through global properties of structure and affordance...
The briefest of glances: the time course of natural scene understandingMichelle R Greene
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Psychol Sci 20:464-72. 2009..Comparing the relative availability of visual information reveals bottlenecks in the accumulation of meaning. Understanding these bottlenecks provides critical insight into the computations underlying rapid visual understanding...
High-level aftereffects to global scene propertiesMichelle R Greene
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
J Exp Psychol Hum Percept Perform 36:1430-42. 2010..We show systematic modulation of observers' basic-level scene categorization performances after adapting to a global property, suggesting a strong representational role of global properties in rapid scene categorization...
Visual search in scenes involves selective and nonselective pathwaysJeremy M Wolfe
Brigham and Women s Hospital, Harvard Medical School, 64 Sidney St Suite 170, Cambridge, MA 02139, USA
Trends Cogn Sci 15:77-84. 2011....
Disentangling scene content from spatial boundary: complementary roles for the parahippocampal place area and lateral occipital complex in representing real-world scenesSoojin Park
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
J Neurosci 31:1333-40. 2011..By demonstrating that visual scene analysis recruits distinct and complementary high-level representations, our results testify to distinct neural pathways for representing the spatial boundaries and content of a visual scene...
